Regression as Classification: Influence of Task Formulation on Neural Network Features

10 November 2022

Papers citing "Regression as Classification: Influence of Task Formulation on Neural Network Features"

20 / 20 papers shown

Title
An overview of condensation phenomenon in deep learning Zhi-Qin John Xu Yaoyu Zhang Zhangchen Zhou AI4CE 27 0 0 13 Apr 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild Damien Teney Liangze Jiang Florin Gogianu Ehsan Abbasnejad 112 0 0 13 Mar 2025
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving Elahe Delavari Aws Khalil Jaerock Kwon 64 1 0 02 Mar 2025
Structural Entropy Guided Probabilistic Coding Xiang Huang Hao Peng Li Sun Hui Lin Chunyang Liu Jiang Cao Philip S. Yu 74 0 0 12 Dec 2024
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Tao Sun Sander M. Bohté UQCV BDL 91 0 0 29 Nov 2024
The Effects of Multi-Task Learning on ReLU Neural Network Functions Julia B. Nakhleh Joseph Shenouda Robert D. Nowak 32 1 0 29 Oct 2024
Simplicity bias and optimization threshold in two-layer ReLU networks Etienne Boursier Nicolas Flammarion 24 2 0 03 Oct 2024
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications Viacheslav Barkov Jonas Schmidinger Robin Gebbers Martin Atzmueller 21 1 0 18 Sep 2024
GeoPlant: Spatial Plant Species Prediction Dataset Lukás Picek Christophe Botella Maximilien Servajean César Leblanc Rémi Palard Théo Larcher Benjamin Deneu Diego Marcos P. Bonnet Alexis Joly 17 7 0 25 Aug 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 30 2 0 10 Jun 2024
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee Ye Seul Sim Hye-Seung Cho Moonjung Eo Suhee Yoon Sanghyu Yoon Woohyung Lim SSL 27 5 0 13 May 2024
Conformal Prediction via Regression-as-Classification E. Guha Shlok Natarajan Thomas Möllenhoff Mohammad Emtiyaz Khan Eugène Ndiaye 22 11 0 12 Apr 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL Jesse Farebrother Jordi Orbay Q. Vuong Adrien Ali Taïga Yevgen Chebotar ... Sergey Levine Pablo Samuel Castro Aleksandra Faust Aviral Kumar Rishabh Agarwal OffRL 56 55 0 06 Mar 2024
Disentangling the Causes of Plasticity Loss in Neural Networks Clare Lyle Zeyu Zheng Khimya Khetarpal H. V. Hasselt Razvan Pascanu James Martens Will Dabney AI4CE 53 31 0 29 Feb 2024
FoldToken: Learning Protein Language via Vector Quantization and Beyond Zhangyang Gao Cheng Tan Jue Wang Yufei Huang Lirong Wu Stan Z. Li 25 9 0 04 Feb 2024
Target Variable Engineering Jessica Clark 22 0 0 13 Oct 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs D. Chistikov Matthias Englert R. Lazic MLT 32 12 0 10 Jun 2023
Penalising the biases in norm regularisation enforces sparsity Etienne Boursier Nicolas Flammarion 32 14 0 02 Mar 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 17 13 0 01 Feb 2023
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016